Health Care Workers are at the front line of the fight against Covid-19. The aim of this study was to evaluate the acceptability of vaccination against COVID-19 among health professionals (physicians, dentists, pharmacists) two weeks prior to the start of the Greek vaccination campaign against COVID-19. A cross-sectional online survey was conducted over the period 15–22 December 2020 in 340 health professionals in Central Greece. We found a high level of acceptance for COVID-19 vaccine (78.5%) and a high vaccination coverage for the influenza vaccine (74%). Age > 45 years (OR = 2.01; 95% C.I. = 2.01−4.3), absence of fear over vaccine safety (OR = 4.09; 95% C.I. = 1.36–12.3), and information received from the Greek public health authorities (OR = 11.14; 95% C.I. = 5.48–22.6), were factors independently associated with the likelihood of COVID-19 vaccination acceptance. Our study indicates a high level of the COVID-19 vaccination acceptance among physicians, dentists and pharmacists. Nevertheless, several interventions can be implemented to increase acceptance of vaccine among health-care workers (HCWs) and could be especially directed at younger and vaccine-hesitant health care workers due to fear of vaccine side-effects. Last, our results provide some evidence that receiving vaccine-related information from the Greek Center for Diseases Control (E.O.D.Y.) could reduce the drivers of hesitancy and enhance the acceptability of COVID-19 vaccination.

Objectives: To record the incidence of lower limb injuries (acute and overuse syndromes) in Greek artistic gymnasts in relation to the event and exercise phase. Methods: A total of 162 gymnasts (83 male and 79 female athletes) participating in the Greek artistic gymnastic championships were observed weekly for the 1999-2000 season. Results: Ninety three (61.6%) acute injuries and 58 (38.4%) overuse syndromes were recorded. The most common anatomical location was the ankle (69 cases, 45.7%), followed by the knee (40 cases, 26.5%). The rate of mild injuries was 26.6% (25 cases), that of moderate injuries was 44% (41 cases), and that of major injuries was 29% (27 cases). The incidence of injury to the ankle and knee was significantly higher in the floor exercise, especially during the landing phase, than in the other events. Conclusions: By its nature, gymnastics predisposes to acute injuries, but up to 75% are mild or moderate. Special attention should be paid to the floor exercise, especially the landing phase.

Background: Many studies have compared different training methods for improving muscular performance, but more investigations need to be directed to the restoration of muscular imbalances. Objective: To determine the most effective training for altering strength ratios in the shoulder rotator cuff. Methods: Forty eight physical education students were randomly assigned to four groups (12 per group): (a) experimental group who carried out multijoint dynamic resistance training for shoulder internal and external rotation movement (pull ups or lat pull downs, overhead press, reverse pull ups, push ups) (MJDR group); (b) experimental group who exercised the same muscle group using dumbbells weighing 2 kg (isolated group); (c) experimental group who followed an isokinetic strengthening programme for the rotator cuff muscle group (isokinetic group); (d) control group who had no strength training. Testing was performed in the supine position with the glenohumeral joint in 90˚of abduction in the coronal plane, with a range of motion of 0-90˚of external rotation and 0-65˚of internal rotation at angular velocities of 60, 120, and 180˚/s. The test procedure was performed before and after the exercise period of six weeks. Results: One way analysis of variance found no differences between the groups for the initial tests. Analysis of variance with repeated measures showed that the strength ratios in all the experimental groups had altered after the exercise period, with the isokinetic group showing the most significant improvement. Conclusions: Isokinetic strengthening is the most effective method of altering strength ratios of the rotator cuff muscle.

Rising interest in the field of Intelligent Transportation Systems combined with the increased availability of collected data allows the study of different methods for prevention of traffic congestion in cities. A common need in all of these methods is the use of traffic predictions for supporting planning and operation of the traffic lights and traffic management schemes. This paper focuses on comparing the forecasting effectiveness of three machine learning models, namely Random Forests, Support Vector Regression, and Multilayer Perceptron—in addition to Multiple Linear Regression—using probe data collected from the road network of Thessaloniki, Greece. The comparison was conducted with multiple tests clustered in three types of scenarios. The first scenario tests the algorithms on specific randomly selected dates on different randomly selected roads. The second scenario tests the algorithms on randomly selected roads over eight consecutive 15 min intervals; the third scenario tests the algorithms on random roads for the duration of a whole day. The experimental results show that while the Support Vector Regression model performs best at stable conditions with minor variations, the Multilayer Perceptron model adapts better to circumstances with greater variations, in addition to having the most near-zero errors.

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